B7JL64 AF NFT

Phosphoglucosamine mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm7na6m6xmnurss7lr6jwo3dtdtddtplmqefz3ulu3g6dvknbgqy/metadata.json
IPFS of structure file: 
bafybeih2eddgfgogqvmyzv4ronbkp4cshr7gmbmj3mll242nbitjuldgfm/AF-B7JL64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3048035c88f5559a84b15475ED6c0013b3E8bF25
First NFT owner address (bech32): 
genesis1xpyqxhyg742e4p9323676mqqzwe730e9qezsxd
Current NFT ID #149385 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
149385
Accession (UniProt):
B7JL64
Name::
Phosphoglucosamine mutase
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH820)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT B7JL64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7JL64|GLMM_BACC0 Phosphoglucosamine mutase OS=Bacillus cereus (strain AH820) OX=405535 GN=glmM PE=3 SV=1 MGKYFGTDGVRGVANKELTPELAFKIGRFGGYVLTKDTDRPKVIIGRDTRISGHMLEGALVAGLLSTGAEVMRLGVISTPGVAYLTKALDAQAGVMISASHNPVQDNGIKFFGSDGFKLTDEQEAEIEALLDKEVDELPRPTGTNLGQVSDYFEGGQKYLQYIKQTVEEDFSGLHIALDCAHGATSSLAPYLFADLEADISTMGTSPNGMNINDGVGSTHPEVLAELVKEKGADIGLAFDGDGDRLIAVDEKGNIVDGDQIMFICAKYMKETGQLKHNTVVSTVMSNLGFYKALEANGITSDKTAVGDRYVMEEMKRGGYNLGGEQSGHIILLDYITTGDGMLSALQLVNIMKMTKKPLSELAGEMTKFPQLLVNVRVTDKKLALENEKIKEIIRVVEEEMNGDGRILVRPSGTEPLIRVMAEAPTQEVCDAYVHRIVEVVKAEVGAE